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江西省耕地土壤碳氮比空间变异特征及其影响因素
引用本文:江叶枫,郭熙,孙凯,饶磊,李婕,王澜珂,叶英聪,李伟峰.江西省耕地土壤碳氮比空间变异特征及其影响因素[J].环境科学,2017,38(9):3840-3850.
作者姓名:江叶枫  郭熙  孙凯  饶磊  李婕  王澜珂  叶英聪  李伟峰
作者单位:江西农业大学国土资源与环境学院, 南昌 330045;江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045
基金项目:国家自然科学基金项目(41361049);江西省自然科学基金项目(20122BAB204012);江西省赣鄱英才"555"领军人才项目(201295)
摘    要:以江西省2012年测土配方施肥项目采集的16 582个耕地表层(0~20 cm)土壤样点数据,运用普通克里格和回归分析方法,对江西省土壤碳氮比(C/N)空间变异特征及其影响因素进行分析.结果表明江西省土壤C/N在2.98~52.67之间,平均值为11.72,变异系数为25.17%,呈中等变异性.经半方差分析,土壤C/N的块金效应为88.44%,其空间变异受结构性和随机性因素共同影响,但随机性因素的影响更大.土壤C/N空间分布较为平滑,高值区主要分布在九江市彭泽县、萍乡市上栗县和抚州市乐安县.地形因子、耕地利用方式、成土母质、土壤类型和氮肥施用量对土壤C/N空间变异影响均显著(P0.05),但影响程度不一.地形因子可解释0.3%的土壤C/N空间变异,耕地利用方式的独立解释能力为1.4%,成土母质的独立解释能力为2.4%,土类、亚类和土属的独立解释能力分别为2.7%、3.6%、5.5%.氮肥施用量对土壤C/N空间变异的独立解释能力最高,为33.4%,是引起江西省土壤C/N空间变异最主要的因素.

关 键 词:江西省  土壤碳氮比  空间变异  影响因素  氮肥施用量
收稿时间:2017/2/27 0:00:00
修稿时间:2017/4/5 0:00:00

Spatial Variability of C-to-N Ratio of Farmland Soil in Jiangxi Province
JIANG Ye-feng,GUO Xi,SUN Kai,RAO Lei,LI Jie,WANG Lan-ke,YE Ying-cong and LI Wei-feng.Spatial Variability of C-to-N Ratio of Farmland Soil in Jiangxi Province[J].Chinese Journal of Environmental Science,2017,38(9):3840-3850.
Authors:JIANG Ye-feng  GUO Xi  SUN Kai  RAO Lei  LI Jie  WANG Lan-ke  YE Ying-cong and LI Wei-feng
Institution:Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Nanchang 330045, China,Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Nanchang 330045, China,Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Nanchang 330045, China,Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Nanchang 330045, China,Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Nanchang 330045, China,Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Nanchang 330045, China,Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Nanchang 330045, China and Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Nanchang 330045, China
Abstract:Spatial variability of soil carbon-to-nitrogen ratio (C/N) at the provincial scale was analyzed using ordinary kriging methods. The effects of the factors influencing C/N were quantified by regression analysis based on 16,582 points of surface soil samples (0-20 cm) collected during the project of soil-test-based formulated fertilization in Jiangxi Province in 2012. The results showed that soil C/N ranged from 2.98 to 52.67, with an average of 11.72. The coefficient of variation was 25.17%, suggesting moderate variability. The nugget-to-sill ratio was 88.44%, meaning that the stochastic factors played a more important role in the spatial variability of soil C/N between the structural and stochastic factors. The spatial distribution of soil C/N was relatively smooth and the high-value areas were mainly distributed in Pengze County-Jiujiang City, Shangli County-Pingxiang City, and Lean County-Fuzhou City. The terrain factors, farmland-use type, parent material, soil type, and the level of nitrogen fertilizer had significant impacts on the spatial variability of soil C/N (P<0.05), but the degree of influence was different for each factor. Soil C/N indicated a significant positive Pearson''s correlation with elevation and the slope of slope (P<0.05). The terrain factors explained 0.3% of the spatial variability of soil C/N and the farmland-use could explain 1.4%. The explanatory power of soil groups, subgroups, and soil family were 2.7%, 3.6%, and 5.5% respectively. The level of nitrogen fertilizer could explain 33.4% of the spatial variability of soil C/N, which showed that the amount of nitrogen fertilizer was the main factor that controls the spatial distribution of soil C/N.
Keywords:Jiangxi province  soil carbon-to-nitrogen ratio  spatial variability  influencing factors  level of nitrogen fertilizer
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